Paper: A Discriminative Latent Variable-Based DE Classifier for Chinese-English SMT

ACL ID C10-1033
Title A Discriminative Latent Variable-Based DE Classifier for Chinese-English SMT
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

Syntactic reordering on the source-side is an effective way of handling word or- der differences. The { (DE) construc- tion is a flexible and ubiquitous syntac- tic structure in Chinese which is a ma- jor source of error in translation quality. In this paper, we propose a new classi- fier model — discriminative latent vari- able model (DPLVM) — to classify the DE construction to improve the accuracy of the classification and hence the transla- tion quality. We also propose a new fea- ture which can automatically learn the re- ordering rules to a certain extent. The ex- perimental results show that the MT sys- tems using the data reordered by our pro- posed model outperform the baseline sys- tems by 6.42% and 3.08% relative points in terms of the BLEU score on PB-SMT and hierarchical ph...